There is a need for high quality reliability data for power plants that can be used during all phases of the life cycle of plants to improve asset operation and maintenance: setting targets for newbuilding (RAM-specification), optimization of the plant configuration, improved plant maintenance, less spare parts, benchmarking, etc. The data analysis allows technical benchmarking of plants, systems and components on a new level.
In addition to the reliability data from the VGB Research Project 361 over the period 2001 to 2011, the same method will be used to calculate reliability data from the VGB power plant information system KISSY with new data over the period 2009 to 2019. In the results subsystem failure frequencies, average repair time and forced unavailability, the plant layout and several classes of plants (combined cycle, conventional coal & lignite fired, reserve plants versus plants in the market) are to be taken into account. Individual plants are handled strictly unanimously. The results from this analysis are reliability indicators on a 2 and 3 digit KKS (Kraftwerk-Kennzeichen-System (“Power Plant Identification System”)) subsystem or component level showing differences between plants, ageing of the components, effects of operating hours and starts per year and the statistical distribution of repair times. A new exciting factor is the automatic recognition of outliers using so-called robust statistics.
The project is to be carried out in close cooperation between DNV and vgbe energy and members of the international vgbe committee Technical Group “Performance Indicators” with results expected early 2022.
Contact
Dr. Thomas Eck: thomas.eck@vgbe.energy and Stefan Prost: stefan.prost@vgbe.energy
